期刊文献+

网络水军对互联网文化市场影响的仿真研究

Simulation Study of Internet Water Army's Impact on Internet Culture Market
下载PDF
导出
摘要 为了研究网络水军操控互联网文化市场中商品排名信息的过程及影响要素,以Salganik等的现场实验结果为基准,深入分析了在线网络歌曲试听和试听后下载的行为特点,建立了互联网文化市场中歌曲下载行为的仿真模型。在此基础上,模拟网络水军操控互联网文化市场中商品排名信息的过程,通过控制变量法进行多次灌水实验。实验结果表明:仿真结果与现场实验结果具有很高的拟合度;网络水军可以通过灌水确保被灌水商品胜出,说明网络水军对互联网文化市场的危害是不可忽视的,影响正常运营秩序;同时发现了网络水军影响互联网文化市场的三点要素,即社会影响力、灌水时间和商品质量。 In order to study the processes of manipulating commodity ranking information by Internet water army in the Internet culture market and influencing factors, this paper in-depth analyses the behavioral characteristics of listening online songs and downloading songs on the basis of Salganik et al. 's experimental study results, and a simulation model of songs downloading behavior in the Internet cultural market is proposed. On this basis, we simulate the processes of distorting songs ranking information by Internet water army in the Internet cultural market, and repeat the experiment many times by the method of controlling the variable. Experimental results show that the simulation is excellent in fitting, consistent with the results of field experiments; distortion by Internet water army can ensure the song with distortion to win, proving that the harm of the Internet cultural market by Internet water army cannot be ignored, as it affects the normal operation of the Internet culture market. Meanwhile there are three influencing factors of distortion by Internet water army, namely social influence, time of distorting and quality of songs.
出处 《大连理工大学学报(社会科学版)》 CSSCI 2014年第3期27-32,共6页 Journal of Dalian University of Technology(Social Sciences)
基金 国家自然科学基金项目:"动态数据挖掘中的演化聚类模型与算法研究"(71171030) 新世纪优秀人才支持计划项目:"基于优化理论和多元统计分析的数据挖掘与知识发现方法及应用研究"(NCET-11-0050)
关键词 网络水军 互联网文化市场 商品排名信息 internet water army internet culture market commodity ranking information
  • 相关文献

参考文献13

  • 1GHOSE A,IPEIROTIS P G. Designing novel review rank- ing systems: predicting the usefulness and impact of re- views[A]. ACM. Proceedings of the Ninth International Conference on Electronic Commerce [ C]. Minneapolis: ACM Press,2007.19-22.
  • 2LIM K P. Ranking market efficiency for stock markets: a nonlinear perspective[J]. Physica A: Statistical Mechanics and its Applications, 2007,376 : 445-454.
  • 3SALGANIK M J, DODDS P S, WATTS D J. Experimental study of inequality and unpredictability in an artificial cul- tural market[J]. Science, 2006,311 (5762) : 854-856.
  • 4MUCHNIK L,ARAL S,TAYLOR S J. Social influence bi- asia randomized experiment[J]. Science,2013,341(6146) : 647-651.
  • 5CLAUSET A, SHALIZI C R, NEWMAN M E J. Power- law distributions in empirical data [ J]. SIAM Review, 2009,51(4) :661-703.
  • 6大卫·伊斯利.网络、群体与市场[M].李晓明等译.北京:清华大学出版社,2011.
  • 7谭真."网络水军"百害无一利[N].光明日报,201212-31(14).
  • 8王爱玲.网络媒介下提升中国主流意识形态吸引力分析[J].大连理工大学学报(社会科学版),2013,34(4):103-107. 被引量:3
  • 9TANG J, SUN J,WANG C, et al. Social influence analysis in large-scale networks[A]. ACM. Proceedings of the 15th ACM SIGKDD international conference on Knowledge dis covery and data mining[C]. New York: ACM Press, 2009. 807-816.
  • 10DAVIS C J, BOWERS J S, MEMON A. Social influence in televised election dehates:a potential distortion of de- mocracy[J]. Plos One,2011,6(3) :1-7.

共引文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部